mergeCoeff {MergeMaid} | R Documentation |
Class mergeCoeff, a class for storing regression coefficients.
Description
This is the class representation for output from regression coefficient calculations
Slots
- coeff
- Object of class matrix, A matrix storing default
coefficients.
- coeff.std
- Object of class matrix, A matrix storing standardized
coefficients.
- zscore
- Object of class matrix, A matrix storing zscores.
Methods
Class-specific methods:
- coeff (mergeCoeff)
- Accessor function for the coeff slot.
- coeff<- (mergeCoeff)
- Replacement function for the coeff slot.
- stdcoeff (mergeCoeff)
- Accessor function for the coeff.std slot.
- stdcoeff<- (mergeCoeff)
- Replacement function for the coeff.std slot.
- zscore (mergeCoeff)
- Accessor function for the zscore slot.
- zscore<- (mergeCoeff)
- Replacement function for the zscore slot.
Standard generic methods:
- plot (list)
- This method is not formally defined for mergeCoeff objects but for a matrix. This function would typically be called with the following syntax, plot(coeff(mergeCoeff)).The result is pairwise scatterplots of the columns of the selected matrix. If there are two studies, this is a single scatterplot.
See Also
mergeExprs
,modelOutcome
, mergeExpressionSet-class
Examples
if(require(Biobase) & require(MASS) & require(survival)){
data(mergeData)
merged <- mergeExprs(sample1,sample2,sample3)
log.coeff <- modelOutcome(merged,outcome=c(1,1,1),method="logistic")
plot(coeff(log.coeff))
plot(stdcoeff(log.coeff),pch=4,labels=c("study A","study B","study C"),col=3)
linear.coeff <- modelOutcome(merged[1:2],outcome=c(3,3),method="linear")
plot(zscore(linear.coeff))
plot(zscore(linear.coeff),xlab="study A",ylab="study B",col=2)
}
[Package
MergeMaid version 2.10.0
Index]